Publications

Showing 2 of 2 Publications

2024

Selection, optimization and validation of ten chronic disease polygenic risk scores for clinical implementation in diverse US populations
Lennon N, Kottyan L, Kachulis C, Abul-Husn N, Arias J, Belbin G, Below J, Berndt S, Chung W, Cimino J, Clayton E, Connolly J, Crosslin D, Dikilitas O, Velez Edwards D, Feng Q, Fisher M, Freimuth R, Ge T, Glessner J, Gordon A, Patterson C, Hakonarson H, Harden M, Harr M, Hirschhorn J, Hoggart C, Hsu L, Irvin M, Jarvik G, Karlson E, Khan A, Khera A, Kiryluk K, Kullo I, Larkin K, Limdi N, Linder J, Loos R, Luo Y, Malolepsza E, Manolio T, Martin L, McCarthy L, McNally E, Meigs J, Mersha T, Mosley J, Musick A, Namjou B, Pai N, Pesce L, Peters U, Peterson J, Prows C, Puckelwartz M, Rehm H, Roden D, Rosenthal E, Rowley R, Sawicki K, Schaid D, Smit R, Smith J, Smoller J, Thomas M, Tiwari H, Toledo D, Vaitinadin N, Veenstra D, Walunas T, Wang Z, Wei W, Weng C, Wiesner G, Yin X, Kenny E. Selection, optimization and validation of ten chronic disease polygenic risk scores for clinical implementation in diverse US populations. Nature Medicine 2024, 30: 480-487. PMID: 38374346, PMCID: PMC10878968, DOI: 10.1038/s41591-024-02796-z.
Peer-Reviewed Original Research
MeSH Keywords and Concepts

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